55,721 to 55,730 of 72,668 Results
Unknown - 778.9 KB -
MD5: 545685ab52c20d307076872d058e3a3a
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Unknown - 298.9 KB -
MD5: 46aefe656390c32b95eb0d7bed5af360
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Unknown - 602.5 KB -
MD5: e11db386bb58f422f2d3a894ff6118a7
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Oct 28, 2020 - Bitcoin Graph Analytics
Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1
This file contains a list of edges, specified by two Bitcoin addresses. |
Oct 28, 2020 -
A directed Bitcoin subgraph with 209 nodes
Plain Text - 18.2 KB -
MD5: a26ea95b7c38e17e515bae5c5930a9da
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Oct 28, 2020 - Social and Affective Neuroscience
Bizzego, Andrea; Gabrieli, Giulio; Esposito, Gianluca, 2020, "Comparison of wearable and clinical devices for experiments with multivariate physiological signals", https://doi.org/10.21979/N9/42BBFA, DR-NTU (Data), V1
The development of wearable technologies enables the acquisition and quantification of physiological signals in a wide range of contexts, from personal uses to clinical and scientific research. Wearable Devices (WDs) have lower costs and higher portability than medical-grade devi... |
Oct 28, 2020 -
Comparison of wearable and clinical devices for experiments with multivariate physiological signals
Gzip Archive - 50.2 KB -
MD5: ce1331fa5f36f248a8c4fd500fa5e78e
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Oct 28, 2020 -
Comparison of wearable and clinical devices for experiments with multivariate physiological signals
Gzip Archive - 39.4 KB -
MD5: e37cd201c5b4984ad3c5d0d951216b64
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Oct 28, 2020 -
Comparison of wearable and clinical devices for experiments with multivariate physiological signals
Gzip Archive - 4.0 KB -
MD5: b4e060178f746bc9fdfb0bb111e06bfd
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Oct 28, 2020 -
Comparison of wearable and clinical devices for experiments with multivariate physiological signals
Gzip Archive - 51.4 KB -
MD5: bed1b15ed41348a287ca22e885691403
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